Parallel and Distributed Processing

Teacher: Helen Karatza, Associate Professor

E-mail: karatza@csd.auth.gr

Lectures:

• Tuesday 15:00 - 17:00
• Friday 11:00 - 13:00

Course Contents

Introduction to Parallel and Distributed Processing.

Organization-Classification of parallel and distributed processing systems.

Shared memory systems-distributed memory systems.

Speedup, efficiency, scalability.

Processing in array processors, pipeline machines, multiprocessors, dataflow machines, reduction machines, etc.

Multiprocessing in transputer systems.

Cluster Computing. Grid Computing.

Multiprocessing in Large Scale Systems. Real time processing systems.

Algorithms for task assignment in parallel and distributed systems.

Software for parallel and distributed processing. Parallel and distributed processing applications.

   Supporting resources

• Description of Simulation Tools for Parallel and Distributed Processing

• Sample Exercises

 

 

   Evolution of systems for parallel and distribution processing

• Introduction

• Special Issues on parallel and Distributed Computing

• Notes 1, Notes 2, Notes 3.

Bibliography

• At the blackboard homepage

Tools

• GridSim

• www-unix.globus.org/toolkit/

Relevant Pages

Next, you can find some pages with content relevant with the subject:

• http://www.buyya.com/cluster
• http://dsonline.computer.org/
• http://www.ieeetfcc.org/
• http://www.tu-chemnitz.de/informatik/RA/cchp/
• http://www.eg.bucknell.edu/~cs355/2007-spring/resources.html
• http://computer.org/parascope/
• http://www.cs.rit.edu/~ncs/parallel.html#books
• http://www.ctwatch.org/quarterly/
• http://i30www.ira.uka.de/teaching/coursedocuments/65/DS_10_Processes.pdf
• http://www.cs.pitt.edu/%7Emelhem/courses/3530/L1.pdf
• http://wotug.kent.ac.uk/parallel/occam/documentation/index.html